Precision: [tensor(0.2423, device='cuda:0'), tensor(0.2515, device='cuda:0'), tensor(0.2310, device='cuda:0'), tensor(0.2472, device='cuda:0'), tensor(0.2419, device='cuda:0'), tensor(0.2382, device='cuda:0'), tensor(0.2414, device='cuda:0'), tensor(0.2400, device='cuda:0'), tensor(0.2515, device='cuda:0'), tensor(0.2172, device='cuda:0')]

Output distance: [tensor(20.5713, device='cuda:0'), tensor(20.5166, device='cuda:0'), tensor(20.6397, device='cuda:0'), tensor(20.5420, device='cuda:0'), tensor(20.5741, device='cuda:0'), tensor(20.5964, device='cuda:0'), tensor(20.5768, device='cuda:0'), tensor(20.5856, device='cuda:0'), tensor(20.5163, device='cuda:0'), tensor(20.7222, device='cuda:0')]

Prediction loss: [tensor(102.7216, device='cuda:0'), tensor(103.6821, device='cuda:0'), tensor(101.7601, device='cuda:0'), tensor(102.9213, device='cuda:0'), tensor(102.6708, device='cuda:0'), tensor(103.4808, device='cuda:0'), tensor(101.8604, device='cuda:0'), tensor(101.2357, device='cuda:0'), tensor(103.2772, device='cuda:0'), tensor(102.0344, device='cuda:0')]

Others: [{'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}]

Compressed training loss: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

Training loss: 0

Prediction time: [datetime.timedelta(seconds=1, microseconds=716719), datetime.timedelta(seconds=1, microseconds=727673), datetime.timedelta(seconds=1, microseconds=727672), datetime.timedelta(seconds=1, microseconds=735636), datetime.timedelta(seconds=1, microseconds=727720), datetime.timedelta(seconds=1, microseconds=718711), datetime.timedelta(seconds=1, microseconds=723690), datetime.timedelta(seconds=1, microseconds=715721), datetime.timedelta(seconds=1, microseconds=724637), datetime.timedelta(seconds=1, microseconds=719707)]

Phi time: [datetime.timedelta(seconds=4, microseconds=471910), datetime.timedelta(seconds=4, microseconds=367782), datetime.timedelta(seconds=4, microseconds=389793), datetime.timedelta(seconds=4, microseconds=371144), datetime.timedelta(seconds=4, microseconds=393774), datetime.timedelta(seconds=4, microseconds=375924), datetime.timedelta(seconds=4, microseconds=391095), datetime.timedelta(seconds=4, microseconds=370443), datetime.timedelta(seconds=4, microseconds=402285), datetime.timedelta(seconds=4, microseconds=371553)]

